What data for this category looks like
Daily documents for this category include equipment ledgers, inspection checklists, maintenance plans, work orders, failure analysis, spare parts lists, and special equipment inspection records. Data sources include EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history, spare parts inventory information, and statutory inspection documents. Update frequencies cover shift-based, daily, weekly, monthly cycles, and immediate updates when a fault occurs. Document fields include equipment numbers, inspection item thresholds, spare part models, inspection validity periods, and more. Field formats and update rhythms vary across different documents.
What constraints these characteristics impose on deployment and upgrade
Multi-source heterogeneous data sources and differentiated update rhythms require configuring storage and synchronization strategies adapted to multi-format documents during the deployment phase. High-frequency updated inspection data and real-time fault reporting requirements increase server concurrent load. Database connection counts must be limited to avoid impacting production system operations. The statutory nature of special equipment inspection records requires storage configurations to meet basic data immutability requirements. Scenarios with cross-department collaborative use require deployment of permission tier configurations to meet different operational needs of equipment departments and maintenance teams. The upgrade phase must ensure uninterrupted data synchronization to avoid disrupting daily inspection and maintenance workflows.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt:password@mongodb:27017/fastgpt?authSource=admin | Stores structured business documents such as equipment ledgers and work orders, and complies with database compatibility standards of existing enterprise EAM/CMMS systems |
REDIS_URL | redis://:cachepass@redis:6379/0 | Caches frequently accessed inspection checklists and spare parts list data, and adapts to shift-based update frequencies |
DB_MAX_LINK | 20–30 connections | Limits concurrent database connections to avoid occupying excessive server resources and disrupting production system interactions |
FE_DOMAIN | http://192.168.0.111:3000 | Configures a local area network access address to meet local access needs of workshop teams |
STORAGE_S3_ENDPOINT | Fill in according to the enterprise's internal object storage address | Stores unstructured files such as equipment sensor data and failure analysis reports, and adapts to multi-type document storage needs |
ROOT_KEY | Set based on actual measurement | Configures the super administrator key for permission management during initial deployment, and complies with enterprise internal security specifications |
Three common misconfigurations
- Symptom: The local area network address is inaccessible, and only the local 127.0.0.1 can load the interface normally. Cause:
FE_DOMAINis not configured with the LAN IP, or the server firewall has not opened the corresponding port. - Symptom: A database connection timeout error appears after starting the container. Cause: The account password configuration for
MONGODB_URIis incorrect, orDB_MAX_LINKis set too high, leading to database connection pool exhaustion. - Symptom: Uploaded equipment documents cannot be retrieved normally. Cause:
STORAGE_S3_ENDPOINTis not configured, or the storage path is incorrect, resulting in files not being properly uploaded to the specified storage location.
How to verify complete configuration
- Input the configured
FE_DOMAINaddress on a LAN terminal of the workshop team to verify normal loading of the FastGPT v4.17.0 interface. - Upload a standard equipment inspection checklist template to verify that the file can be stored normally and displayed in the document management list.
- Trigger a simulated fault reporting operation to verify that data can be synchronized to the database corresponding to the configured
MONGODB_URI. - Check the server container logs to confirm that the database connection count does not exceed the
DB_MAX_LINKlimit, and no error messages are present.
The values provided are common starting points and should be measured against the reader's own samples.